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Describe your approach to the relationship between psychology and Christianity.

This paper is the capstone project of the course, and it will describe your approach to the relationship between psychology and Christianity. You will classify your approach and note the strengths (3) and limitations (3) of your view as well as reflect on different factors that led to your position.

Write a research paper in which you argue yourposition on a focused topic:Immigration.

You will write a research paper in which you argue yourposition on a focused topic:Immigration. Your arguments must be logical, clear, and well supported using academic sources. You should also use rhetorical devices in your paper to achieve your purpose and convince your audience. Paper Requirements:•4-5 typed pages, standard font and paper formatting.•At least fiveacademic sources.•MLAcitations and Works Cited page. Graded Assignments:1. Annotated Bibliography (100 pts)2. Draft (50 pts)3. Final Paper (200 pts)Grading Criteria for Final Draft•Main Idea (25%): Paper develops a clear position on a focused topic with logical, relevantpersuasive reasons.•Content Development (25%): Supporting ideas are well developed using relevant evidence fromacademic sources.•Organization (15%): Well organized with clear introduction, body, and conclusion. Effectivetransitions guide the reader through the paper.•Rhetorical Strategies (10%): Effective use of a variety of rhetorical devices to argue yourposition and convince your audience.•Language (15%): Writing is easy to understand. There may be minor errors in grammar orvocabulary that do not interfere with overall meaning.•MLA Citations (10%): Sources are correctly cited in-text and in the Works Cited page.

Discuss what strategies you have implemented to get things done.

In this journal, you have the opportunity to discuss privately with your instructor the status of your final project. At this point, you have completed all of your milestones and have received feedback, and you should be preparing to hand in your final project in Module Nine. What questions do you have for your instructor that might impact your final project? Do you feel that you understand the project? Are you on track to hand it in on time? This is a chance to alert your instructor if you need help, and to seek assistance and feedback. If you feel that you are in a good position, discuss what strategies you have implemented to get things done.

Describe the hierarchy of positions in an organization by illustrating the leadership positions in an organization chart.

Objectives

Describe the hierarchy of positions in an organization by illustrating the leadership positions in an organization chart.
Show the relationship of positions at the various levels of an organization by placing them on their organization chart.
Describe the structure of an organization and how it contributes to meeting its objectives.

Instructions

Choose an organization with which you are familiar.
Using Word, PowerPoint, or a drawing program, prepare an organizational chart that shows the major positions of an organization beginning with the chief executive officer at the top, and continuing downward to include the individual contributors who do not hold supervisory or management positions.
If there are many positions at the bottom of the chart, you may combine them. For example, in a school there may be many teachers.
On your chart, you may designate where the positions are in the hierarchy, but you do not need to name everyone.
There are many free templates that can be used with Word, PowerPoint, and drawing programs.
In Word (or some other compatible word processor), prepare a paper of 1,500 words maximum not including title page or references (double spaced, 12-point font) describing the organization’s structure and how that structure aids it in accomplishing its strategies, and compare the vertical and horizontal structures of the organization.

Explain the following business structures: sole proprietorship, partnership, LLC, and a corporation.

If you were to start your own business, which business entity structure would you choose?
See attachment for business structure chosen.
Justify why your chosen structure is the best organizational form.
Explain the following business structures: sole proprietorship, partnership, LLC, and a corporation. In your analysis address the following for each business structure:
Steps to form
Personal liability for owners
Taxation
Advantages and disadvantages
Your paper must be four to five pages (excluding title and reference pages), and it must be formatted according to APA style as outlined in the Ashford Writing Center. You must cite at least two scholarly sources in addition to the course textbook. Cite your sources in-text and on the reference page.
View grading rubric.
Use Rogers, S. (2012). Essentials of Business Law [Electronic version]. as the resource for this paper.

Compare the relationship between technology and innovation in sustainable business

CO2: Assess the main motivations for engagement in sustainable business practices<br>CO7 : Compare the relationship between technology and innovation in sustainable business<br>CO8 : Develop a plan to address the political, regulatory, or technological environments that impact organizations’ supply chain sustainability and strategies<br><br>Prompt: Review the case entitled “Chapter 13 Case: Strategic Mission-Driven Sustainable Business: “Stonyfield Yogurt” in the Sustainable Business Case Book. Analyze the case responding to the following questions:<br><br>List three to five main contributing factors in Stonyfield’s success. Discuss how these factors led to Stonyfield’s success. What, if any, specific aspects of Stonyfield’s contributing factors, sustainability mission, strategies, and approaches have the greatest potential for transferability to other businesses?<br>Throughout the case there are several examples where a sustainability action has positive and negative implications. Discuss the powdered milk and PLA cup decisions in terms of features and benefits.<br>Are Gary Hirshberg’s “hard-headed” conclusions little more than moral platitudes or are they really hard-earned, practical, positive (e.g., what is), and normative (e.g., what should be) lessons on how to globally scale sustainable products benefit of the plant, people, and profits? Find two or three examples of how other companies have applied Hirshberg’s conclusions on a global scale to benefit the planet.<br>Corporations are important elements of the communities in which they operate. As a corporate citizen, an organization should be moved to interact with and contribute to its local, regional, national, and global communities, especially as related to environmental, health, and business issues. Describe Stonyfield’s resulting corporate partnerships. Note operational strategies, tools, or methods used to foster corporate citizenship within the local and extended corporate community. Explain how sustainability principles are demonstrated by management and encouraged throughout the organization.<br>Instructions:<br><br>Label your Word document as follows: yourlastname.doc (ex: Johnson.docx)<br>Use the attached, APA Word Document, template provided.<br>Essay format; not bullet format.<br>Minimum 5 full pages of content (Word Document) of strategic material (does not include cover page, abstract, nor reference pages).<br>All charts, graphs, pictures are to go in the appendix (not a substitute for content)<br>Make sure you use credible and reliable resources–5 minimum (2 peer-reviewed); format in APA.<br>Refrain from excessive use of quotes in your response (less than 5%)<br>Once you submit your document to the assignment folder it will automatically be loaded to TURNITIN.COM within the course. Your similarity scan score must be 20% or less (the following will be excluded: headers, bibliography, etc. prior to instructor grading paper—focus on the content of scan percentage.<br>Plagiarism will result in an automatic zero for this assignment.<br>There are no late assignments accepted after the last day of the course.<br>Grading Rubric: See the grading rubric for more information on assignment grading.

What recommendations did President Obama accept from the CPR?

Answer/discuss the following:
What recommendations did President Obama accept from the CPR?
What do you think has been accomplished since that time?
According to the CSIS paper and reports from the GAO, what are some gaps and areas for improvement?
Analyze the role of cybersecurity with respect to culture, diversity and interpersonal relationship.

What is the impact of using a linear regression model in this case?

Module 7 Discussion:

For your initial post, choose one of the following two prompts to respond to. Then in your two follow up posts, respond at least once in each option. Use the discussion topic as a place to ask questions, speculate about answers, and share insights. Be sure to embed and cite your references for any supporting images.

Option 1:

Think of a problem dealing with two possibly related variables (Y and X) that you may be interested in. Share your problem and discuss why a regression analysis could be appropriate for this problem.

Specifically, what statistical questions are you asking? Why would you want to predict the value of Y? What if you wanted to predict a value of Y that’s beyond the highest value of X (for example if X is time and you want to forecast Y in the future)?

You should describe the data collection process that you are proposing but you do not need to collect any data.

Option 2:

Give an example of a problem dealing with two possibly related variables (Y and X) for which a linear regression model would not be appropriate. For example, the relationship could be curved instead of linear, or there may be no significant correlation at all.

What is the impact of using a linear regression model in this case? What options, other than linear regression, can you see? You do not need to collect any data.

For your response to a classmate (two responses required, one in each option), examine your classmate’s problem to assess the appropriateness and accuracy of using a linear regression model. Discuss the meaning of the standard error of the estimate and how it affects the predicted values of Y for that analysis.

Study Material for this Discussion:

Requirements for a Regression Analysis The calculation of the linear regression line Y = mX + b in Module Six is strictly a mathematical one. The statistical methods that analyze the significance of the correlation between X and Y, however, require specific statistical assumptions. Even when X and Y have a linear relationship, individual values of Y will not be exactly equal to the predicted values mX + b. The difference is called the error, written as ε (the Greek letter epsilon). This error is a random quantity that can be different for every data point. If (x1, y1) is the first data value, then the first error ε1 is: ε1 = y1 − (mx1 + b). There are two main requirements that must be met in order to perform a statistical analysis: 1. X and Y are linearly related with a random deviation (error) affecting each measurement. In regression analysis theory, the population parameter for the slope is usually written as β1 (the Greek letter beta, instead of m) and the population parameter for the intercept is usually written as β0 (instead of b). The linear model is thus: Y = β1 X + β0 + ε 2. The errors ε (one for each data point) are independent of each other and normally distributed with mean 0 and the same standard deviation. With those two requirements, techniques for hypothesis testing can be used. Hypothesis Tests of the Slope In Module Six, the significance of the correlation coefficient r was tested; however, it is much more common to test the significance of the slope. The formal statement of a hypothesis test for the slope is: H0: β1 = 0 2 MAT 240 Module Seven H1: β1 ≠ 0 The alternative hypothesis is usually two-tailed. The estimate of the slope, b1 (also written as m), has a t distribution with n–2 degrees of freedom (n is the number of data values). The calculation of the standard error of b1, the estimate of β1, can be lengthy; the use of software (StatCrunch or Excel) for the computations is strongly encouraged. As for previous hypothesis tests, this can use either the classical method (critical value) or the p-value method. Rejecting the null hypothesis indicates that there is a significant correlation between X and Y. Not rejecting the null hypothesis indicates that the data is inconclusive. Hypothesis Tests of the Intercept In addition to hypothesis tests of the slope, hypothesis tests of the intercept can be performed. The parameter β0 is the value of Y when X = 0. The value β0 = 0 may be of interest, but other values could be meaningful too. For example, in an economic model where Y is the total cost and X is the number of units produced, β0 can be interpreted as the fixed cost. The formal statement of a hypothesis test for the intercept is: H0: β0 = some number H1: β0 ≠ some number where the number is chosen to be appropriate for the application under study. The calculation of the standard error of b0, the estimate of β0, can be lengthy, and students are strongly encouraged to use software (StatCrunch or Excel) for the computations. The Multiple Linear Regression Model The linear regression models studied so far use only one independent variable—an X. In real life, there are often multiple independent or explanatory variables that should be considered. A multiple linear regression model is one that uses multiple independent variables (X1, X2, X3, …, Xk) to model one dependent variable (Y). A model that uses only one independent variable is called a simple linear regression. The equation for the multiple linear regression line is: Y = β1X1 + β2X2 + … + βkXk + β0 MAT 240 Module Seven 3 where X1, X2, …, Xk are k independent variables, β1, β2, …, βk are their coefficients (i.e., slopes), and β0 is the intercept. As for simple linear regression, the errors ε (one for each data point) need to be independent of each other and normally distributed with mean 0 and the same standard deviation. Interpreting Multiple Linear Regression Coefficients Analyzing multiple linear regression models is complicated because the variables X1, X2, …, Xk are usually correlated among themselves. The coefficient β1 measures the effect of the variable X1 on Y, but only when the values of X2, X3, …, Xk do not change. Rejecting the null hypothesis of β1 = β2 = … = βk (using either the p-value method or the classical method with a critical value of the F distribution) means that the variables X1, X2, …, Xk, taken as a whole, are significantly correlated with Y. There is no conclusion about any specific variable.

 

 

Write a one to one and a half-page (approximately 500-800 word) essay describing philosophy and theory of teaching.

Write a one to one and a half-page (approximately 500-800 word) essay describing philosophy and theory of teaching. You should list at least one philosophical orientation and one educational theorist, although you are not limited to one of each. To support your position as to why you align with the philosophy and theorist(s) you selected, cite at least two outside sources.

Discuss the key features of a teacher’s role as a model, provider, and facilitator in promoting language learning and literacy.

Discuss the key features of a teacher’s role as a model, provider, and facilitator in promoting language learning and literacy. Be specific in discussing practical ways that each role is shown.